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The purpose of this study (Bio-Hermes) is to develop a blood, digital, and brain amyloid PET scan biomarker database that can be used to determine whether a meaningful relationship exists between digital tests, blood amyloid-beta, p-tau, and neurofilament biomarker levels and amyloid-beta levels identified through brain amyloid PET images. Blood collected will also be genetically sequenced to gain insights about genes and brain amyloid. The Bio-Hermes study will include 1,000 volunteers over the age of 60 screened for Preclinical Alzheimer's Disease, Prodromal AD, or Mild Dementia AD, and includes an endpoint enrollment requirement of 200 participants from underrepresented minority populations.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Biomarker Data Collection | Other | During this study, a sample of your blood will be collected and you will have a PET scan taken of your brain. Blood sample results will be compared to PET scan pictures to understand how well the markers in the blood predict whether there is amyloid in the brain. Blood samples will also be collected that contain your genes. These genetic samples will also be compared to PET scans to help researchers understand how different people react to medicines and to understand the genetic causes of Alzheimer's disease. Some of the samples will be stored for future analysis. |
| Measure | Description | Time Frame |
|---|---|---|
| Measurement of each participant's blood-based biomarker (Beta-Amyloid, Phospho-Tau, Neurofilament Light Chain) levels will be collected through blood sampling. | Through study completion, an average of 1 year | |
| Measurement of each participant's amyloid levels in the brain will be collected through amyloid PET brain scan imaging. | Through study completion, an average of 1 year |
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Inclusion Criteria:
Participants must meet all the following criteria for entry into the study:
Exclusion Criteria
Participants who meet any of the following criteria will not be eligible for entry into the study:
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Approximately 1,000 participants
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Visionary Investigators Network - Aventura | Aventura | Florida | 33180 | United States | ||
| Visionary Investigators Network - Coral Gables |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27668883 | Background | Baek MJ, Kim K, Park YH, Kim S. The Validity and Reliability of the Mini-Mental State Examination-2 for Detecting Mild Cognitive Impairment and Alzheimer's Disease in a Korean Population. PLoS One. 2016 Sep 26;11(9):e0163792. doi: 10.1371/journal.pone.0163792. eCollection 2016. | |
| 2106207 | Background | Berry CC. A tutorial on confidence intervals for proportions in diagnostic radiology. AJR Am J Roentgenol. 1990 Mar;154(3):477-80. doi: 10.2214/ajr.154.3.2106207. No abstract available. |
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Beta-Amyloid, Phospho-Tau, Neurofilament Light Chain, DNA, RNA
| Coral Gables |
| Florida |
| 33133 |
| United States |
| Charter Research - Lady Lake | Lady Lake | Florida | 32159 | United States |
| JEM | Lake Worth | Florida | 33462 | United States |
| ClinCloud | Maitland | Florida | 32751 | United States |
| Visionary Investigators Network - South Miami | Miami | Florida | 33176 | United States |
| K2 | Orlando | Florida | 32751 | United States |
| Visionary Investigators Network - Pembroke Pines | Pembroke Pines | Florida | 33026 | United States |
| Progressive Medical Research | Port Orange | Florida | 32127 | United States |
| Axiom Clinical Research of Florida | Tampa | Florida | 33609 | United States |
| Charter Research - Winter Park | Winter Park | Florida | 32792 | United States |
| Great Lakes Clinical Trials | Chicago | Illinois | 60640 | United States |
| Kansas University Alzheimer's Disease Center (KUADC) | Fairway | Kansas | 66160 | United States |
| Velocity Clinical Research - Syracuse | Syracuse | New York | 13057 | United States |
| Kerwin Research Center | Dallas | Texas | 75231 | United States |
| El Faro Health and Therapeutics | Rio Grande City | Texas | 78582 | United States |
| 31956523 | Background | Cahn-Hidalgo D, Estes PW, Benabou R. Validity, reliability, and psychometric properties of a computerized, cognitive assessment test (Cognivue(R)). World J Psychiatry. 2020 Jan 19;10(1):1-11. doi: 10.5498/wjp.v10.i1.1. eCollection 2020 Jan 19. |
| 24179789 | Background | Chetelat G, La Joie R, Villain N, Perrotin A, de La Sayette V, Eustache F, Vandenberghe R. Amyloid imaging in cognitively normal individuals, at-risk populations and preclinical Alzheimer's disease. Neuroimage Clin. 2013 Mar 5;2:356-65. doi: 10.1016/j.nicl.2013.02.006. eCollection 2013. |
| 27274215 | Background | Giri M, Zhang M, Lu Y. Genes associated with Alzheimer's disease: an overview and current status. Clin Interv Aging. 2016 May 17;11:665-81. doi: 10.2147/CIA.S105769. eCollection 2016. |
| 29096697 | Background | Howell JC, Watts KD, Parker MW, Wu J, Kollhoff A, Wingo TS, Dorbin CD, Qiu D, Hu WT. Race modifies the relationship between cognition and Alzheimer's disease cerebrospinal fluid biomarkers. Alzheimers Res Ther. 2017 Nov 2;9(1):88. doi: 10.1186/s13195-017-0315-1. |
| Background | Ingelfinger, JA, Mosteller, R, Thibodeau, LA, Ware, JA. Biostatistics in Clinical Medicine. 3rd ed. New York, N.Y.: McGraw-Hill, New York; 1994. |
| 29653606 | Background | Jack CR Jr, Bennett DA, Blennow K, Carrillo MC, Dunn B, Haeberlein SB, Holtzman DM, Jagust W, Jessen F, Karlawish J, Liu E, Molinuevo JL, Montine T, Phelps C, Rankin KP, Rowe CC, Scheltens P, Siemers E, Snyder HM, Sperling R; Contributors. NIA-AA Research Framework: Toward a biological definition of Alzheimer's disease. Alzheimers Dement. 2018 Apr;14(4):535-562. doi: 10.1016/j.jalz.2018.02.018. |
| 24503555 | Background | Kantarci K. Molecular imaging of Alzheimer disease pathology. AJNR Am J Neuroradiol. 2014 Jun;35(6 Suppl):S12-7. doi: 10.3174/ajnr.A3847. Epub 2014 Feb 6. |
| Background | Malzbender K, Lavin-Mena L, Hughes L, Bose N, Goldman D, Patel D. White Paper on Key Barriers to Clinical Trials for Alzheimer's Disease. USC Schaeffer Center for Health Policy & Economics and Gates Ventures. August 2020. https://healthpolicy.usc.edu/wp-content/uploads/2020/08/Key-Barriers-to-Clinical-Trials-for-Alzheimer%E2%80%99s-Disease_FINAL.pdf. Accessed December 01, 2020. |
| 30615028 | Background | Morris JC, Schindler SE, McCue LM, Moulder KL, Benzinger TLS, Cruchaga C, Fagan AM, Grant E, Gordon BA, Holtzman DM, Xiong C. Assessment of Racial Disparities in Biomarkers for Alzheimer Disease. JAMA Neurol. 2019 Mar 1;76(3):264-273. doi: 10.1001/jamaneurol.2018.4249. |
| 28752420 | Background | Niemantsverdriet E, Valckx S, Bjerke M, Engelborghs S. Alzheimer's disease CSF biomarkers: clinical indications and rational use. Acta Neurol Belg. 2017 Sep;117(3):591-602. doi: 10.1007/s13760-017-0816-5. Epub 2017 Jul 27. |
| 18625866 | Background | O'Bryant SE, Humphreys JD, Smith GE, Ivnik RJ, Graff-Radford NR, Petersen RC, Lucas JA. Detecting dementia with the mini-mental state examination in highly educated individuals. Arch Neurol. 2008 Jul;65(7):963-7. doi: 10.1001/archneur.65.7.963. |
| Background | US Food and Drug Administration. De Novo Classification Request For Cognivue. De Novo Summary (DEN130033). www.accessdata.fda.gov/cdrh_docs/reviews/DEN130033.pdf. Accessed December 7, 2020. |
| 28342697 | Background | Weiner MW, Veitch DP, Aisen PS, Beckett LA, Cairns NJ, Green RC, Harvey D, Jack CR Jr, Jagust W, Morris JC, Petersen RC, Saykin AJ, Shaw LM, Toga AW, Trojanowski JQ; Alzheimer's Disease Neuroimaging Initiative. Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials. Alzheimers Dement. 2017 Apr;13(4):e1-e85. doi: 10.1016/j.jalz.2016.11.007. Epub 2017 Mar 22. |
| 29091778 | Background | Zhang J, Zhou W, Cassidy RM, Su H, Su Y, Zhang X; Alzheimer's Disease Neuroimaging Initiative. Risk factors for amyloid positivity in older people reporting significant memory concern. Compr Psychiatry. 2018 Jan;80:126-131. doi: 10.1016/j.comppsych.2017.09.015. Epub 2017 Oct 6. |
| 40192926 | Derived | Galvin JE, Kleiman MJ, Harris HM, Estes PW. The Cognivue Amyloid Risk Measure (CARM): A Novel Method to Predict the Presence of Amyloid with Cognivue Clarity. Neurol Ther. 2025 Jun;14(3):865-880. doi: 10.1007/s40120-025-00741-x. Epub 2025 Apr 7. |
| 39424626 | Derived | Galvin JE, Kleiman MJ, Estes PW, Harris HM, Fung E. Cognivue Clarity characterizes mild cognitive impairment and Alzheimer's disease in biomarker confirmed cohorts in the Bio-Hermes Study. Sci Rep. 2024 Oct 18;14(1):24519. doi: 10.1038/s41598-024-75304-5. |
| 38167251 | Derived | Jannati A, Toro-Serey C, Gomes-Osman J, Banks R, Ciesla M, Showalter J, Bates D, Tobyne S, Pascual-Leone A. Digital Clock and Recall is superior to the Mini-Mental State Examination for the detection of mild cognitive impairment and mild dementia. Alzheimers Res Ther. 2024 Jan 2;16(1):2. doi: 10.1186/s13195-023-01367-7. |
| ID | Term |
|---|---|
| D000544 | Alzheimer Disease |
| D060825 | Cognitive Dysfunction |
| D008569 | Memory Disorders |
| ID | Term |
|---|---|
| D003704 | Dementia |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D024801 | Tauopathies |
| D019636 | Neurodegenerative Diseases |
| D019965 | Neurocognitive Disorders |
| D001523 | Mental Disorders |
| D003072 | Cognition Disorders |
| D019954 | Neurobehavioral Manifestations |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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